A Computer Vision Methodology to Predict Brand Personality from Image Features

Yilang Peng; Taylor Jing Wen; Jing Yang

doi:10.1080/00913367.2023.2250842

A Computer Vision Methodology to Predict Brand Personality from Image Features

Yilang Peng, Taylor Jing Wen, Jing Yang

School of Communication

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	626-638
Number of pages	13
Journal	Journal of Advertising
Volume	53
Issue number	4
DOIs	https://doi.org/10.1080/00913367.2023.2250842
State	Published - 2024

ASJC Scopus Subject Areas

Business and International Management
Communication
Marketing

Access to Document

10.1080/00913367.2023.2250842

Cite this

@article{debf53d00fac4229b9ea2b91b58e5704,

title = "A Computer Vision Methodology to Predict Brand Personality from Image Features",

author = "Yilang Peng and Wen, {Taylor Jing} and Jing Yang",

note = "Publisher Copyright: {\textcopyright} Copyright {\textcopyright} 2023, American Academy of Advertising.",

year = "2024",

doi = "10.1080/00913367.2023.2250842",

language = "English",

volume = "53",

pages = "626--638",

journal = "Journal of Advertising",

issn = "0091-3367",

number = "4",

}

TY - JOUR

T1 - A Computer Vision Methodology to Predict Brand Personality from Image Features

AU - Peng, Yilang

AU - Wen, Taylor Jing

AU - Yang, Jing

PY - 2024

Y1 - 2024

UR - http://www.scopus.com/inward/record.url?scp=85171797591&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85171797591&partnerID=8YFLogxK

U2 - 10.1080/00913367.2023.2250842

DO - 10.1080/00913367.2023.2250842

M3 - Article

AN - SCOPUS:85171797591

SN - 0091-3367

VL - 53

SP - 626

EP - 638

JO - Journal of Advertising

JF - Journal of Advertising

IS - 4

ER -

A Computer Vision Methodology to Predict Brand Personality from Image Features

ASJC Scopus Subject Areas

Access to Document

Other files and links

Cite this